23 Best Books to learn Reinforcement learning for beginners to Professional

In current years the field of Artificial Intelligence is in boom due to which Reinforcement learning is in high demand due to its ever-increasing popularity, Demand, and usage, for which we have to keep ourselves updated throughout time, hence here are some of the selected Books to learn Reinforcement learning for beginner to professional right from scratch.

“Artificial intelligence would be the ultimate version of Google. The ultimate search engine that would understand everything on the web. It would understand exactly what you wanted, and it would give you the right thing. We’re nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on.” —Larry Page

What is Reinforcement learning?

Right from Self-playing chess to Tetris, self-moving robotics, and many other fields that require constant improvement Reinforcement learning is always in limelight. The field of Reinforcement learning has exploded due to the development of Deep learning, better understanding of neural networks, breakthrough in machine learning and AI.

Reinforcement learning is a part of Machine Learning, it’s an area of Machine Learning that works on constant self-development algorithms in simple terms we can say due to Reinforcement learning we can develop a software, program, algorithm, system, etc that has the ability to develop itself in terms of speed, accuracy, precision.

Best Books to learn Reinforcement learning
Hand pointing at glowing digital brain. Artificial intelligence and future concept. 3D Rendering

In technical terms, we can say Reinforcement learning is a training part of Machine Learning that deals with the decision in a sequential manner with the help of a trial and error method that works on a reward system.

Basically in Reinforcement learning works on trial and error methods to come up with the most accurate answer that requires lots of computing power and advance programming skills. In other words, we can say it is one of the backbones of Artificial Intelligence, which helps AI to develop on its own.

How Reinforcement learning Works:

Since to know how Reinforcement learning works we have to know about how Supervised Learning works, and supervised learning is a part of deep neural nets what we call Deep learning.

Best Books to learn Reinforcement learning

Let’s take a game of chess in this if we apply Supervised Learning we have to use an actual human player and note down his moments and statistics and convert that raw data into distilled datasets with the help of data mining, and then we can configure the self-playing game of chess, but here’s a drawback of that it cannot learn by itself an actual person has to train in Supervised Learning.

Best Books to learn Reinforcement learning

But this is not the case with Reinforcement learning, it works on a reward mechanism, it tries multiple ways to play in chess, and when it wins it considers as a reward, and when it loses it considers nothing, by using this technique it constantly improves its own algorithm.

If you want to know about ARTIFICIAL SUPER INTELLIGENCE check out our latest blog.

Why study Reinforcement learning or why Reinforcement learning is important

We all know Artificial Intelligence is the future, and many companies are putting millions of dollars into it, and Machine Learning, Deep Learning, Neural Networks and Reinforcement learning are the stepping stones towards AI.

Best Books to learn Reinforcement learning

So if you want to make a carrier in Artificial Intelligence you have to master the application of Reinforcement learning precisely.

One of the reasons to learn AI is in Business, checkout “18 Future Scope of Artificial Intelligence in Business

Best Books to learn Reinforcement learning:

Here comes the most important topic of today’s blog, what are the best books to learn Reinforcement learning, here are some of my personal choices of books that can help you to learn Reinforcement learning quite easily.

To be clear there are lot’s of Books on Reinforcement learning and Supervised Learning, but this list is my finest collection from all over the world, the authors of the following books are masters in their fields, So believe me this is the list of best books to learn Reinforcement learning for beginners to professionals.

So these are the Reinforcement learning Books

1) Reinforcement Learning – An Introduction (Adaptive Computation and Machine Learning series)

Best Books to learn Reinforcement learning

Book Details:

Richard S. Sutton is Professor of Computing Science and AITF Chair in Reinforcement Learning and Artificial Intelligence at the University of Alberta, and also Distinguished Research Scientist at DeepMind

  • Publisher : MIT Press; second edition (23 November 2018)
  • Language : English
  • Hardcover : 552 pages
  • ISBN-10 : 0262039249
  • ISBN-13 : 978-0262039246
  • Item Weight : 1 kg 180 g
  • Dimensions : 18.42 x 3.76 x 23.65 cm

This Book is available on Amazon click here

Best Books to learn Reinforcement learning

2) Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more, 2nd Edition:

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Book Details:

Maxim Lapan is a deep learning enthusiast and independent researcher. His background and 15 years’ work expertise as a software developer and a systems architect lie from low-level Linux kernel driver development to performance optimization and design of distributed applications working on thousands of servers. With vast work experience in big data, machine learning, and large parallel distributed HPC and non-HPC systems, he is able to explain a number of complicated concepts in simple words and vivid examples.

  • Publisher : Packt Publishing Limited; 2nd edition (31 January 2020)
  • Language : English
  • Paperback : 826 pages
  • ISBN-10 : 1838826998
  • ISBN-13 : 978-1838826994
  • Item Weight : 1 kg 390 g
  • Dimensions : 19.05 x 4.75 x 23.5 cm

This Book is available on Amazon click here

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3) Reinforcement Learning – An Introduction (Adaptive Computation and Machine Learning series):

Reinforcement learning books by techohealth.com

Richard S. Sutton is Professor of Computing Science and AITF Chair in Reinforcement Learning and Artificial Intelligence at the University of Alberta, and also Distinguished Research Scientist at DeepMind.

  • Publisher : MIT Press; second edition (8 May 1998)
  • Language : English
  • Hardcover : 344 pages
  • ISBN-10 : 0262193981
  • ISBN-13 : 978-0262193986
  • Item Weight : 798 g
  • Dimensions : 17.78 x 2.7 x 22.86 cm

This Book is available on Amazon click here

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4) Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices

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Enes Bilgin works as a senior AI engineer and a tech lead in Microsoft’s Autonomous Systems division. He is a machine learning and operations research practitioner and researcher with experience in building production systems and models for top tech companies using Python, TensorFlow, and Ray/RLlib. He holds an M.S. and a Ph.D. in systems engineering from Boston University and a B.S. in industrial engineering from Bilkent University.

  • Publisher: Packt Publishing Limited (18 December 2020)
  • Language: English
  • Paperback: 544 pages
  • ISBN-10: 1838644148
  • ISBN-13: 978-1838644147
  • Item Weight: 925 g
  • Dimensions : 19.05 x 3.12 x 23.5 cm

This Book is available on Amazon click here

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5) Grokking Deep Reinforcement Learning:

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Miguel Morales is a Staff Research Engineer at Lockheed Martin, Missile and Fire Control-Autonomous Systems. He is also a faculty member at Georgia Institute of Technology where he works as an Instructional Associate for the Reinforcement Learning and Decision Making graduate course.

  • Publisher : Manning Publications; 1st edition (10 November 2020)
  • Language : English
  • Paperback : 472 pages
  • ISBN-10 : 1617295450
  • ISBN-13 : 978-1617295454
  • Item Weight : 880 g
  • Dimensions : 18.73 x 2.54 x 23.5 cm

This Book is available on Amazon click here

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6) Foundations of Deep Reinforcement Learning: Theory and Practice in Python (Addison-Wesley Data & Analytics Series):

Reinforcement learning books by techohealth.com

Laura Graesser is a research software engineer working in robotics at Google. She holds a master’s degree in computer science from New York University, where she specialized in machine learning.

Wah Loon Keng is an AI engineer at Machine Zone, where he applies deep reinforcement learning to industrial problems. He has a background in both theoretical physics and computer science.

  • Publisher : Addison-Wesley; 1st edition (4 February 2020)
  • Language : English
  • Paperback : 416 pages
  • ISBN-10 : 0135172381
  • ISBN-13 : 978-0135172384
  • Item Weight : 504 g
  • Dimensions : 17.6 x 2.4 x 2.3 cm

This Book is available on Amazon click here

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7) Deep Reinforcement Learning with Python: With PyTorch, TensorFlow and OpenAI Gym:

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Nimish is a passionate technical leader who brings to the table an extreme focus on the use of technology for solving customer problems. He has over 25 years of work experience in Software and Consulting. Nimish has held leadership roles with P&L responsibilities at PwC, IBM, and Oracle.

  • Publisher : Apress; 1st ed. edition (12 June 2021)
  • Language : English
  • Paperback : 490 pages
  • ISBN-10 : 1484268083
  • ISBN-13 : 978-1484268087
  • Item Weight : 765 g
  • Dimensions : 17.81 x 2.31 x 25.4 cm

This Book is available on Amazon click here

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8) Reinforcement Learning Algorithms with Python: Learn, understand, and develop smart algorithms for addressing AI challenges:

books to learn reinforcement Learning

Andrea Lonza is a deep learning engineer with a great passion for artificial intelligence and a desire to create machines that act intelligently. He has acquired expert knowledge in reinforcement learning, natural language processing, and computer vision through academic and industrial machine learning projects. He has also participated in several Kaggle competitions, achieving high results. He is always looking for compelling challenges and loves to prove himself.

  • Publisher: Packt Publishing Limited (18 October 2019)
  • Language: English
  • Paperback: 366 pages
  • ISBN-10: 1789131111
  • ISBN-13: 978-1789131116
  • Item Weight626 g
  • Dimensions : 19.05 x 2.11 x 23.5 cm

This Book is available on Amazon click here

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9) Automate the Boring Stuff with Python: Practical Programming for Total Beginners:

books to learn reinforcement Learning

Al Sweigart is a software developer and teaches programming to kids and adults. He has written several Python books for beginners, including Hacking Secret Ciphers with PythonInvent Your Own Computer Games with Python, and Making Games with Python & Pygame.

  • Publisher : No Starch Press; 1st edition (14 April 2015)
  • Language : English
  • Paperback : 504 pages
  • ISBN-10 : 1593275994
  • ISBN-13 : 978-1593275990
  • Item Weight : 953 g
  • Dimensions : 17.78 x 3.02 x 23.5 cm

This Book is available on Amazon click here

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10) Deep Reinforcement Learning with Python: Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow, 2nd Edition:

books to learn reinforcement Learning

Sudharsan Ravichandiran is a data scientist and artificial intelligence enthusiast. He holds a Bachelors in Information Technology from Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning including natural language processing and computer vision. He is an open-source contributor and loves answering questions on Stack Overflow.

  • Publisher : Packt Publishing Limited; 2nd edition (30 September 2020)
  • Language : English
  • Paperback : 760 pages
  • ISBN-10 : 1839210680
  • ISBN-13 : 978-1839210686
  • Item Weight : 1 kg 280 g
  • Dimensions : 19.05 x 4.37 x 23.5 cm

This Book is available on Amazon click here

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11) Deep Reinforcement Learning in Action Paperback:

books to learn reinforcement Learning

Alexander Zai is a Machine Learning Engineer at Amazon AI working on MXNet that powers a suite of AWS machine learning products.

Brandon Brown is a Machine Learning and Data Analysis blogger at outlace.com committed to providing clear teaching on difficult topics for newcomers.

  • Publisher : Manning Publications; 1st edition (28 April 2020)
  • Language : English
  • Paperback : 325 pages
  • ISBN-10 : 1617295434
  • ISBN-13 : 978-1617295430
  • Item Weight : 709 g
  • Dimensions : 18.75 x 2.03 x 23.5 cm

This Book is available on Amazon click here

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12) Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow:

books to learn reinforcement Learning

Sean Saito is the youngest ever Machine Learning Developer at SAP and the first bachelor hired for the position. He currently researches and develops machine learning algorithms that automate financial processes. Yang Wenzhuo works as a Data Scientist at SAP, Singapore. He got a bachelor’s degree in computer science from Zhejiang University in 2011 and a Ph.D. in machine learning from the National University of Singapore in 2016. Rajalingappaa Shanmugamani is currently working as an Engineering Manager for a Deep learning team at Kairos. Previously, he worked as a Senior Machine Learning Developer at SAP, Singapore and worked at various startups in developing machine learning products.

  • Publisher : Packt Publishing Limited (29 September 2018)
  • Language : English
  • Paperback : 296 pages
  • ISBN-10 : 1788991613
  • ISBN-13 : 978-1788991612
  • Item Weight : 513 g
  • Dimensions : 19.05 x 1.7 x 23.5 cm

This Book is available on Amazon click here

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13) Reinforcement Learning: Industrial Applications of Intelligent Agents (Grayscale Indian Edition):

books to learn reinforcement Learning
  • Publisher : Shroff/O’Reilly; First edition (19 October 2020)
  • Language : English
  • Paperback : 408 pages
  • ISBN-10 : 9385889508
  • ISBN-13 : 978-9385889509
  • Reading age : 10 years and up
  • Item Weight : 700 g
  • Dimensions : 22.86 x 17.78 x 2.03 cm

This Book is available on Amazon click here

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14) Neural Smithing – Supervised Learning in Feedforward Artificial Neural Networks (A Bradford Book):

books to learn reinforcement Learning
  • Publisher : MIT Press (10 September 2014)
  • Language : English
  • Paperback : 360 pages
  • ISBN-10 : 0262527014
  • ISBN-13 : 978-0262527019
  • Reading age : 18 years and up
  • Item Weight : 617 g
  • Dimensions : 23.5 x 19.1 x 1.91 cm

This Book is available on Amazon click here

Reinforcement Learning books by techohealth.com

15) Multi-Agent Machine Learning: A Reinforcement Approach:

books to learn reinforcement Learning

Howard M. Schwartz, PhD, received his B.Eng. Degree from McGill University, Montreal, Canada in une 1981 and his MS Degree and PhD Degree from MIT, Cambridge, USA in 1982 and 1987 respectively. He is currently a professor in systems and computer engineering at Carleton University, Canada. His research interests include adaptive and intelligent control systems, robotic, artificial intelligence, system modelling, system identification, and state estimation.

  • ASIN : 111836208X
  • Publisher : Wiley; 1st edition (26 September 2014)
  • Language : English
  • Hardcover : 256 pages
  • ISBN-10 : 9781118362082
  • ISBN-13 : 978-1118362082
  • Item Weight : 510 g
  • Dimensions : 15.75 x 1.78 x 23.88 cm

This Book is available on Amazon click here

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16) Handbook of Reinforcement Learning and Control: 325 (Studies in Systems, Decision, and Control):

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Kyriakos G. Vamvoudakis serves as an Assistant Professor at The Daniel Guggenheim School of Aerospace Engineering at Georgia Tech. He received the Diploma in Electronic and Computer Engineering from the Technical University of Crete, Greece in 2006. He received his M.S. and Ph.D. in Electrical Engineering in 2008 and 2011 respectively from the University of Texas, Arlington. During the period from 2012 to 2016, he was a project research scientist at the Center for Control, Dynamical Systems and Computation at the University of California, Santa Barbara.

  • Publisher : Springer; 1st ed. 2021 edition (19 February 2021)
  • Language : English
  • Hardcover : 783 pages
  • ISBN-10 : 3030609898
  • ISBN-13 : 978-3030609894
  • Item Weight : 788 g
  • Dimensions : 15.49 x 23.5 cm

This Book is available on Amazon click here

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17) The The Supervised Learning Workshop: A New, Interactive Approach to Understanding Supervised Learning Algorithms, 2nd Edition:

Reinforcement Learning book by techohealth.com

Blaine Bateman has more than 35 years of experience working with various industries from government R&D to startups to $1B public companies. His experience focuses on market/business analytics including machine learning and forecasting. His hands-on abilities include R coding, Keras, AWS & Azure machine learning, Office suite, writing, market research, due diligence, and employee development and training.

  • Publisher : Packt Publishing Limited; 2nd edition (28 February 2020)
  • Language : English
  • Paperback : 490 pages
  • ISBN-10 : 1800209045
  • ISBN-13 : 978-1800209046
  • Item Weight : 905 g
  • Dimensions : 19.05 x 3.05 x 23.5 cm

This Book is available on Amazon click here

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18) Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more:

Reinforcement Learning book by techohealth.com

Rowel Atienza is an Associate Professor at the Electrical and Electronics Engineering Institute of the University of the Philippines, Diliman. He holds the Dado and Maria Banatao Institute Professorial Chair in Artificial Intelligence and received his MEng from the National University of Singapore for his work on an AI-enhanced four-legged robot.

  • ASIN : B078N8RDCP
  • Publisher : Packt Publishing; 1st edition (31 October 2018)
  • Language : English
  • File size : 40970 KB
  • Text-to-Speech : Enabled
  • Enhanced typesetting : Enabled
  • X-Ray : Not Enabled
  • Word Wise : Not Enabled
  • Print length : 368 pages

This Book is available on Amazon click here

Reinforcement Learning books by techohealth.com

19) Hands-On Deep Learning for Games: Leverage the power of neural networks and reinforcement learning to build intelligent games:

Reinforcement Learning book by techohealth.com

Micheal Lanham is a proven software and tech innovator with 20 years of experience. During that time, he has developed a broad range of software applications in areas such as games, graphics, web, desktop, engineering, artificial intelligence, GIS, and machine learning applications for a variety of industries as an R&D developer.

  • Publisher : Packt Publishing Limited (30 March 2019)
  • Language : English
  • Paperback : 392 pages
  • ISBN-10 : 1788994078
  • ISBN-13 : 978-1788994071
  • Item Weight : 671 g
  • Dimensions : 19.05 x 2.26 x 23.5 cm

This Book is available on Amazon click here

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20) Supervised Learning with Python: Concepts and Practical Implementation Using Python:

Reinforcement Learning book by techohealth.com

Vaibhav Verdhan has 12+ years of experience in Data Science, Machine Learning, and Artificial Intelligence. An MBA with an engineering background, he is a hands-on technical expert with the acumen to assimilate and analyze data. He has led multiple engagements in ML and AI across geographies and across retail, telecom, manufacturing, energy, and utility domains. Currently, he resides in Ireland with his family and is working as a Principal Data Scientist.

  • Publisher : Apress; 1st ed. edition (8 October 2020)
  • Language : English
  • Paperback : 372 pages
  • ISBN-10 : 1484261550
  • ISBN-13 : 978-1484261552
  • Item Weight : 599 g
  • Dimensions : 15.49 x 2.34 x 23.5 cm

This Book is available on Amazon click here

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21) Applied Supervised Learning with Python: Use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning:

Reinforcement Learning book by techohealth.com

Benjamin Johnston is a senior data scientist for one of the world’s leading data-driven MedTech companies and is involved in the development of innovative digital solutions throughout the entire product development pathway, from problem definition to solution research and development, through to final deployment.  Ishita Mathur has worked as a data scientist for 2.5 years with product-based start-ups working with business concerns in various domains and formulating them as technical problems that can be solved using data and machine learning.

  • Publisher : Packt Publishing Limited (27 April 2019)
  • Language : English
  • Paperback : 404 pages
  • ISBN-10 : 1789954924
  • ISBN-13 : 978-1789954920
  • Item Weight : 689 g
  • Dimensions : 19.05 x 2.31 x 23.5 cm

This Book is available on Amazon click here

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22) Supervised Machine Learning with Python: Develop rich Python coding practices while exploring supervised machine learning:

Reinforcement Learning book by techohealth.com

Taylor Smith is a machine learning enthusiast with over five years of experience who loves to apply interesting computational solutions to challenging business problems. Currently working as a principal data scientist, Taylor is also an active open source contributor and staunch Pythonista.

  • Publisher : Packt Publishing Limited (27 May 2019)
  • Language : English
  • Paperback : 162 pages
  • ISBN-10 : 1838825665
  • ISBN-13 : 978-1838825669
  • Item Weight : 290 g
  • Dimensions : 19.05 x 0.94 x 23.5 cm

This Book is available on Amazon click here

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23) Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python:

Reinforcement Learning book by techohealth.com

Tarek Amr has 8 years of experience in data science and machine learning. After finishing his postgraduate degree at the University of East Anglia, he worked in a number of startups and scale-up companies in Egypt and the Netherlands.

  • Publisher : Packt Publishing Limited (24 July 2020)
  • Language : English
  • Paperback : 384 pages
  • ISBN-10 : 1838826041
  • ISBN-13 : 978-1838826048
  • Item Weight : 658 g
  • Dimensions : 19.05 x 2.21 x 23.5 cm

This Book is available on Amazon click here

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Best Sources to learn Reinforcement learning

  1. Udemy
  2. Coursera
  3. Edx
  4. LinkedIn

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